如何删除R向量中的双引号？
要删除 R 向量中的双引号，我们可以按照以下步骤操作 -
首先，创建一个向量。
然后，使用打印函数和引用参数。
示例 1
创建向量
让我们创建一个如下所示的向量 -
x1<-sample(c("1","2","3","4","5","6","7","8","9","10"),250,replace=TRUE)x1
输出结果执行时，上述脚本生成以下内容output(this output will vary on your system due to randomization)-
[1] "8" "10" "3" "5" "6" "10" "7" "9" "1" "10" "1" "2" "1" "8"[15] "6" "8" "3" "10" "2" "9" "4" "5" "10" "6" "5" "6" "8" "5"
[29] "6" "7" "1" "2" "4" "4" "10" "8" "7" "5" "8" "9" "4" "2"
[43] "3" "8" "6" "6" "10" "9" "9" "3" "8" "2" "10" "1" "2" "4"
[57] "1" "1" "2" "6" "6" "7" "6" "8" "8" "2" "5" "4" "8" "5"
[71] "6" "4" "4" "10" "2" "8" "10" "3" "6" "7" "9" "4" "2" "3"
[85] "9" "5" "6" "9" "5" "6" "3" "4" "7" "5" "2" "9" "10" "9"
[99] "1" "5" "8" "9" "9" "2" "10" "7" "5" "8" "9" "9" "2" "1"
[113] "7" "9" "4" "8" "1" "10" "3" "7" "8" "9" "8" "9" "6" "9"
[127] "5" "1" "8" "10" "5" "6" "1" "8" "6" "2" "10" "6" "4" "10"
[141] "10" "8" "2" "4" "9" "3" "4" "8" "4" "4" "8" "7" "5" "9"
[155] "9" "2" "9" "3" "3" "10" "2" "1" "6" "3" "2" "1" "1" "6"
[169] "6" "10" "7" "8" "2" "3" "6" "5" "9" "5" "5" "1" "4" "8"
[183] "5" "9" "9" "2" "7" "5" "8" "6" "8" "1" "4" "4" "6" "5"
[197] "3" "9" "3" "3" "5" "9" "1" "5" "4" "8" "7" "9" "9" "4"
[211] "7" "7" "10" "7" "7" "7" "7" "6" "9" "1" "5" "8" "4" "1"
[225] "5" "6" "2" "9" "4" "9" "4" "4" "6" "10" "7" "3" "1" "1"
[239] "4" "10" "8" "8" "2" "10" "7" "6" "4" "1" "5" "3"
去掉双引号
使用打印函数和引用参数来删除双引号 -
x1<-sample(c("1","2","3","4","5","6","7","8","9","10"),250,replace=TRUE)print(x1,quote=FALSE)
输出结果[1] 8 10 3 5 6 10 7 9 1 10 1 2 1 8 6 8 3 10 2 9 4 5 10 6[25] 5 6 8 5 6 7 1 2 4 4 10 8 7 5 8 9 4 2 3 8 6 6 10 9
[49] 9 3 8 2 10 1 2 4 1 1 2 6 6 7 6 8 8 2 5 4 8 5 6 4
[73] 4 10 2 8 10 3 6 7 9 4 2 3 9 5 6 9 5 6 3 4 7 5 2 9
[97] 10 9 1 5 8 9 9 2 10 7 5 8 9 9 2 1 7 9 4 8 1 10 3 7
[121] 8 9 8 9 6 9 5 1 8 10 5 6 1 8 6 2 10 6 4 10 10 8 2 4
[145] 9 3 4 8 4 4 8 7 5 9 9 2 9 3 3 10 2 1 6 3 2 1 1 6
[169] 6 10 7 8 2 3 6 5 9 5 5 1 4 8 5 9 9 2 7 5 8 6 8 1
[193] 4 4 6 5 3 9 3 3 5 9 1 5 4 8 7 9 9 4 7 7 10 7 7 7
[217] 7 6 9 1 5 8 4 1 5 6 2 9 4 9 4 4 6 10 7 3 1 1 4 10
[241] 8 8 2 10 7 6 4 1 5 3
示例 2
创建向量
让我们创建一个如下所示的向量 -
x2<-输出结果sample(c("ID01","ID02","ID03","ID04","ID05","ID06","ID07","ID08"),200,replace=TRUE)
x2
执行时，上述脚本生成以下内容output(this output will vary on your system due to randomization)-
[1] "ID01" "ID05" "ID08" "ID03" "ID03" "ID07" "ID05" "ID07" "ID07" "ID04"[11] "ID08" "ID06" "ID04" "ID04" "ID02" "ID02" "ID01" "ID02" "ID04" "ID03"
[21] "ID07" "ID04" "ID07" "ID04" "ID07" "ID06" "ID03" "ID03" "ID06" "ID05"
[31] "ID06" "ID02" "ID02" "ID01" "ID01" "ID04" "ID02" "ID01" "ID03" "ID08"
[41] "ID04" "ID08" "ID06" "ID05" "ID03" "ID07" "ID08" "ID02" "ID07" "ID05"
[51] "ID02" "ID07" "ID04" "ID04" "ID03" "ID08" "ID06" "ID08" "ID04" "ID04"
[61] "ID08" "ID08" "ID05" "ID02" "ID04" "ID07" "ID08" "ID05" "ID03" "ID04"
[71] "ID03" "ID06" "ID06" "ID05" "ID03" "ID02" "ID02" "ID04" "ID03" "ID04"
[81] "ID03" "ID08" "ID02" "ID05" "ID08" "ID08" "ID05" "ID05" "ID08" "ID08"
[91] "ID08" "ID06" "ID02" "ID02" "ID02" "ID06" "ID06" "ID07" "ID02" "ID07"
[101] "ID06" "ID06" "ID03" "ID02" "ID07" "ID05" "ID06" "ID07" "ID01" "ID07"
[111] "ID06" "ID04" "ID06" "ID06" "ID01" "ID01" "ID08" "ID07" "ID04" "ID05"
[121] "ID03" "ID07" "ID04" "ID07" "ID02" "ID02" "ID02" "ID04" "ID06" "ID03"
[131] "ID08" "ID07" "ID02" "ID06" "ID02" "ID05" "ID07" "ID05" "ID04" "ID04"
[141] "ID06" "ID08" "ID04" "ID03" "ID06" "ID02" "ID06" "ID03" "ID05" "ID04"
[151] "ID03" "ID08" "ID01" "ID01" "ID08" "ID06" "ID08" "ID05" "ID01" "ID04"
[161] "ID03" "ID01" "ID06" "ID08" "ID03" "ID08" "ID07" "ID02" "ID01" "ID02"
[171] "ID04" "ID03" "ID06" "ID01" "ID03" "ID08" "ID01" "ID05" "ID07" "ID07"
[181] "ID02" "ID08" "ID06" "ID07" "ID07" "ID03" "ID04" "ID05" "ID03" "ID08"
[191] "ID07" "ID08" "ID05" "ID02" "ID03" "ID03" "ID04" "ID07" "ID07" "ID05"
去掉双引号
使用打印函数和引用参数来删除双引号 -
x2<-输出结果sample(c("ID01","ID02","ID03","ID04","ID05","ID06","ID07","ID08"),200,replace=TRUE)
print(x2,quote=FALSE)
[1] ID01 ID05 ID08 ID03 ID03 ID07 ID05 ID07 ID07 ID04 ID08 ID06 ID04 ID04[15] ID02 ID02 ID01 ID02 ID04 ID03 ID07 ID04 ID07 ID04 ID07 ID06 ID03 ID03
[29] ID06 ID05 ID06 ID02 ID02 ID01 ID01 ID04 ID02 ID01 ID03 ID08 ID04 ID08
[43] ID06 ID05 ID03 ID07 ID08 ID02 ID07 ID05 ID02 ID07 ID04 ID04 ID03 ID08
[57] ID06 ID08 ID04 ID04 ID08 ID08 ID05 ID02 ID04 ID07 ID08 ID05 ID03 ID04
[71] ID03 ID06 ID06 ID05 ID03 ID02 ID02 ID04 ID03 ID04 ID03 ID08 ID02 ID05
[85] ID08 ID08 ID05 ID05 ID08 ID08 ID08 ID06 ID02 ID02 ID02 ID06 ID06 ID07
[99] ID02 ID07 ID06 ID06 ID03 ID02 ID07 ID05 ID06 ID07 ID01 ID07 ID06 ID04
[113] ID06 ID06 ID01 ID01 ID08 ID07 ID04 ID05 ID03 ID07 ID04 ID07 ID02 ID02
[127] ID02 ID04 ID06 ID03 ID08 ID07 ID02 ID06 ID02 ID05 ID07 ID05 ID04 ID04
[141] ID06 ID08 ID04 ID03 ID06 ID02 ID06 ID03 ID05 ID04 ID03 ID08 ID01 ID01
[155] ID08 ID06 ID08 ID05 ID01 ID04 ID03 ID01 ID06 ID08 ID03 ID08 ID07 ID02
[169] ID01 ID02 ID04 ID03 ID06 ID01 ID03 ID08 ID01 ID05 ID07 ID07 ID02 ID08
[183] ID06 ID07 ID07 ID03 ID04 ID05 ID03 ID08 ID07 ID08 ID05 ID02 ID03 ID03
[197] ID04 ID07 ID07 ID05
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